Showing 1701-1720 of 7,695 projects
An arbitrary face-swapping framework on images and videos with one single trained model!
Structured data extraction and instruction calling with ML, LLM and Vision LLM for AI-powered developers.
A repository for a course on mastering large language model (LLM) engineering for AI-powered coding tools.
Open-source code repository for realtime multi-person pose estimation, a key computer vision task.
Pretrained PyTorch models for face detection and facial recognition, useful for building computer vision applications.
A beginner's guide to machine learning and image classification with neural networks in Python.
A Python library of extension and helper modules for data analysis and machine learning.
Kodezi Chronos is a state-of-the-art debugging-first language model for code analysis and bug fixing.
An open-source voice interface for desktop, mobile, and embedded devices, focused on developers building with AI tools.
PyTorch implementation of the MoCo self-supervised learning framework for computer vision tasks.
Curated list of awesome GAN applications and demos for developers working with generative AI tools.
A PyTorch-based platform for training and deploying generative AI models.
An open-source library for handling Chinese synonyms, useful for chatbots and NLP applications.
A PyTorch template for deep learning projects with easy setup and organization.
A Python library that provides the most popular metrics used to evaluate object detection algorithms.
Rust-CUDA is an ecosystem of libraries and tools for writing and executing fast GPU code fully in Rust.
A Python library for serving large language models (LLMs) with high performance, including GPU acceleration and distributed inference.
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
A curated list of awesome MLOps tools to help developers build, deploy, and monitor machine learning models
A curated list of awesome papers and code for optimizing LLM/VLM inference performance
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